Team Name | Eagles |
Track | Health insurance |
Use Case | Explore the early warning mechanism for abnormal medical behaviors in the operation of medical insurance |
Why | Medical insurance, as one of the most concerned aspects of society, is closely related to life. It is necessary to fully ensure that medical insurance is used and needed |
expected outcome and benefits | Use data from a certain city to label abnormal medical insurance behaviors for medical professional processing, use big data to classify behaviors, and further differentiate abnormal behaviors |
Technology | Classification model, hierarchical analysis, etc. |
Region | Asia |
Team lead | yajun tao |
Team members | meiya guo,yuhang wu,juanhua wang |
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